Piero Macaluso
Machine Learning Engineer at Picopod
Sanremo, Liguria, Italy
Summary
🤩
Rockstar🎓
Top SchoolPiero Macaluso is a Machine Learning Engineer with eight years of experience applying deep learning and reinforcement learning to real-world systems, from autonomous driving planning at Stellantis to EU‑funded applied research projects at LINKS Foundation. He has designed and productionized models for trajectory selection, safety filters and simulation‑based benchmarking, and has hands‑on skills across Python, C++, PyTorch and full ML pipelines. His master’s thesis at EURECOM implemented model‑free RL on a physical robot, a practical thread that continued into projects like race strategy RL and nuPlan benchmarking. Co‑founder of Picopod, he also brings product instincts and front/backend experience—running a site with 500k+ annual visits—so he pairs research rigor with pragmatic engineering and deployment know‑how.
8 years of coding experience
6 years of employment as a software developer
Liceo Scientifico P.N.I., Liceo Scientifico P.N.I. at Liceo G.D. CassiniCollegio Universitario di Torino Renato EinaudiGraduate Visiting Student, Graduate Visiting Student at EURECOMMaster of Science Computer Engineering, Master of Science Computer Engineering at Politecnico di Torino
Italian, English, French
Stackoverflow
1,274reputation
60kreached
4answers
6questions
nestjs
top-5%
typescript
top-5%
Github Skills (115)
fastapi10
python10
json-schema10
swagger10
asgi10
pydantic10
openapi10
middleware10
async10
openai-gym10
youtube10
swagger-ui10
api10
rest10
starlette10
Programming languages (7)
Github contributions (5)
PieroMacaluso/RoomMonitor
Apr 2018 - Dec 2019
Contributions:318 commits, 10 pushes, 8 issues in 1 year 7 months
PieroMacaluso/Deep-RL-Autonomous-Systems
Mar 2019 - Mar 2020
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
Contributions:289 commits, 31 pushes in 1 year
deep-deterministic-policy-gradientcozmodeep-reinforcement-learningcozmo-anki-robotsreinforcement
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